Crisp dm - Study guides, Class notes & Summaries

The Modern Business Data Analyst A Case Study Introduction into Business Data Analytics with CRISP-DM and R 2024 with complete solution Contents Preface....................................................................................................................................... vii Solving Business Problems with Business Data Analytics................................................... vii R for Business Data Analytics .................................................................

AIDA 181 Big Data Analytics for Risk and Insurance Exam Prep| Questions and Verified Answers| 100% Correct (New 2023/ 2024 Update) QUESTION metadata Answer: data about the data that provides context for analyzing transaction facts with efficient structures for grouping hierarchical information QUESTION what type of data helps prevent data quality issues? Answer: metadata QUESTION what are some data mining techniques Answer: classification ...

Descriptive Analytics Correct Answer-to gain insight from historical data with reporting, scorecards, clustering, etc. "What Happened?" Predictive Analytics Correct Answer-a variety of techniques from statistics, modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future, or otherwise unknown, events. "What might happen in the future?" Prescriptive Analytics Correct Answer-automatically synthesizes big data, multiple disciplin...

What is Machine Learning? correct answers Machine Learning is the study towards algorithms and statistical models that computers use to perform tasks without using explicit instructions. What is connectionist AI? correct answers Connectionist AI, represent information through a distributed, less explicit form with a network. Biological processes underlying learning, task performance, and problem solving are imitated. This in contrast to symbolic AI, that represent information through symbols ...

CRISP-DM correct answers Cross Industry Standard Process for Data Mining CRISP-DM Stage 1: Business Understanding Phase correct answers -Define business requirements -Translate objectives into data mining problem definition -Prepare initial strategy to meet objectives CRISP-DM Stage 2: Data Understanding Phase correct answers -Collect data -Assess data quality -Perform exploratory data analysis (EDA) CRISP-DM Stage 3: Data Preparation Phase correct answers -Cleanse, prepare, and...

Big Data Management & Analytics Exam Questions With Verified Answers *Session 1 - Introduction & Data-Analytic Thinking* - answer Examples of the future that is already here - answer- Tailoring to *Customer Preferences* - Massive *Online Experiments* - *Pattern Recognition* - *Text Mining* - *Data Combination* • Twitter: global happiness • Google: flu Future that will be here (soon) - answerThese things are not happening overnight, but there is a clear trend. - IoT - Automated V...

How is Big Data different from regular IT initiatives? - answer- Unique *challenges* & new *opportunities* (Four V's) - *Cannot be managed* like regular software projects • more like R&D than building an application • involves much more creativity - *Analytics* (or data science) is a very different way of thinking about data than *normal statistics* • *Decision-oriented* (instead of model-oriented) - *Data-analytic thinking* can become so integrated in a company that it *transform...

ITM 330 Exam #1 Questions & Answers 2024/2025 What are the steps of CRISP-DM? - ANSWERS1. Business Understanding 2. Data Understanding 3. Data Preparation 4. Modeling 5. Evaluation 6. Deployment What is the first step of CRISP-DM, define it and give an example? - ANSWERSBusiness Understanding Defining or understanding the purpose of the data mining exercise. Also, know what company wants our of data mining and understand the business. ex: looking at business strategies and ge...

Big Data Management & Analytics Exam Questions With Verified Answers *Session 1 - Introduction & Data-Analytic Thinking* - answer Examples of the future that is already here - answer- Tailoring to *Customer Preferences* - Massive *Online Experiments* - *Pattern Recognition* - *Text Mining* - *Data Combination* • Twitter: global happiness • Google: flu Future that will be here (soon) - answerThese things are not happening overnight, but there is a clear trend. - IoT - Automated V...

MHA 705 Module 5 Exam The term "knowledge discovery" is key, as data mining looks at data from different vantage points, aspects, and perspectives and brings new insights to the data set. a. True b. False a. True As defined by Gene Glass, the term meta-analysis is "the statistical analysis of a large collection of results from individual studies for the purpose of integrating findings." a. True b. False a. True According to AHIMA's model, which of the following is not a ch...